Sensors for a resource

ABSTRACT

A system may include first sensor to monitor first information relating a volume of information searched by a user, a second sensor to monitor second information relating to a number of requests, made by the user, to access a resource, a third sensor to monitor third information relating to a number of requests, made by the user, from different geographic locations, and a device to receive the first information, the second information, and the third information, and process the first information, the second information, and the third information in connection with the resource.

RELATED APPLICATIONS

This application is a continuation-in-part of U.S. patent applicationSer. No. 13/774,356, filed Feb. 22, 2013, which claims priority under 35U.S.C. §119 to U.S. Provisional Patent Application No. 61/602,427, filedon Feb. 23, 2012, the disclosures of which are incorporated by referenceherein in their entireties.

TECHNICAL FIELD

The present disclosure relates to a system and method for access controland, more particularly, to a system and method for adaptivelycontrolling requests to access resources based on the risk associatedwith the request.

BACKGROUND

Organizations endeavor to protect their sensitive information fromunauthorized access or use. Given the increased use of computer systemsas a communication, delivery, and storage medium, organizations areconstantly struggling to protect sensitive information related to thosetransactions. For example, banking organizations endeavor to preventdata breaches that could destabilize financial assets, ranging from meremerchant transactions to stock-market trading. Government entitieslikewise struggle to protect the unauthorized access of classifiedinformation systems, including tactical military records, socialsecurity databases, medical health reports, etc.

In some instances, departments within an organization may desire tolimit or expand access rights to a sub-group of employees within thatdepartment. For example, a hospital may approve or deny different levelsof access to a medical database based on the requestor's role as anurse, accountant, or executive. On the other hand, the hospital maygrant all access requests to that same database from requestorsidentified as physicians, regardless of their departmental affiliation.

Some organizations may require dynamic resource management.Specifically, in response to evolving business conditions orcatastrophic acts of nature, these organizations must automaticallyreconfigure an employee's access privileges. Examples includepermanently increasing a recently-promoted employee's access privilegesor automatically increasing access privileges to all hospital employeesduring national emergencies. Alternatively, organizations may seek toautomatically decrease employee access to particular resources based oninter-department transfers, employee resignation, or natural attrition.

Administering such dynamic and multi-tiered access control systems whilefostering knowledge exchange among multiple branches of an organizationrequires tremendous efforts. Numerous variables must be considered,including the organization's risk tolerance, core business objectives,system stability, and employee roles and classifications. Indeed, manyorganizations fail to implement adequate access controls and insteadprovide their employees with unrestricted access to sensitiveinformation based merely on their status as an employee of theorganization. Such measures leave these organizations vulnerable to databreaches; particularly, the unauthorized access of sensitive data.

Conflicting organizational objectives compound the complexity of dynamicand multi-tiered access control systems. For example, organizationsgenerally seek to promote collaborative efforts between departments, yetemploy static access controls by restricting employee access todepartment-specific resources. This captures the classic organizationaldilemma: fluid exchange of valuable information between departmentsversus the risks of its misuse. These considerations, among others,contribute to the difficulty in managing user access to resources andother information assets.

Traditional access control mechanisms lack the flexibility required tomake adequate access control decisions that promptly respond to achanging organizational environment. Current access control decisionsoften adopt a static all-or-nothing approach, where an individual eitherhas or lacks the privilege to access a resource. In addition, privilegerevisions, if ever performed, may occur only sporadically, therebyexposing the organization to unnecessary risks. For example, employeesof an organization may remain privileged to access sensitive informationlong after their departure or termination from that organization.Indeed, disgruntled employees frequently explore this vulnerability toaccess and expose embarrassing or confidential information. It is thusdesirable to have a system for dynamically managing access toorganizational resources, and to automatically modify access privilegeswithin an organization's risk tolerance, based on a dynamic calculationof risk associated with each request to access resources.

SUMMARY

In accordance with the present disclosure, as embodied and broadlydescribed herein, a method for management of resources comprisesaccessing profiles of users, computing first trust scores for the users,receiving an access request from one of the users for access to aresource, and accessing a sensitivity score of the resource. The methodfurther comprises computing a confidence score for the requesting user,computing a need-to-access score for the requesting user, computing asecond trust score for the requesting user, and selectively granting therequesting user access to the requested resource, based on the secondtrust score.

In accordance with the present disclosure, as embodied and broadlydescribed herein, a computer-readable recording medium stores acomputer-executable program. The program, when executed by a processor,performs a method for management of resources that comprises accessingprofiles of users, computing first trust scores for the users, receivingan access request from one of the users for access a resource, andaccessing a sensitivity score of the resource. The method furthercomprises computing a confidence score for the requesting user,computing a need-to-access score for the requesting user, computing asecond trust score for the requesting user, and selectively granting therequesting user access to the requested resource, based on the secondtrust score.

In accordance with the present disclosure, as embodied and broadlydescribed herein, a system for management of resources is provided. Thesystem comprises a memory to store data and instructions and a processorconfigured to access the memory and execute the instructions to accessprofiles of users, compute first trust scores for the users, receive anaccess request from one of the users for access to a resource, andaccess a sensitivity score of the resource. The processor is furtherconfigured to execute the instructions to compute a confidence score forthe requesting user, compute a need-to-access score for the requestinguser, compute a second trust score for the requesting user, andselectively grant the requesting user access to the requested resource,based on the second trust score.

It is to be understood that both the foregoing general description andthe following detailed description are exemplary and explanatory onlyand are not restrictive of the disclosure, as claimed.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this disclosure, illustrate various embodiments and aspects ofthe present disclosure. In the drawings:

FIG. 1 illustrates an exemplary computing system for adaptive risk-basedaccess controls, consistent with certain disclosed embodiments;

FIG. 2 is a block diagram of an exemplary adaptive risk-based accesscontrol engine, consistent with certain disclosed embodiments;

FIG. 3 is a block diagram of an exemplary resource module, consistentwith certain disclosed embodiments;

FIG. 4 is a flow chart of functions of an exemplary resource module,consistent with certain disclosed embodiments;

FIG. 5 is a block diagram of an exemplary trust module, consistent withcertain disclosed embodiments;

FIG. 6 is a flowchart of functions of an exemplary context module,consistent with certain disclosed embodiments; and

FIG. 7 is a flowchart of an exemplary access control method of anexemplary adaptive risk-based access control system, consistent withcertain exemplary embodiments.

DETAILED DESCRIPTION

The following detailed description refers to the accompanying drawings.Wherever possible, the same reference numbers are used in the drawingsand the following description to refer to the same or similar parts.While several exemplary embodiments and features are described herein,modifications, adaptations and other implementations are possible,without departing from the spirit and scope of the disclosure. Forexample, substitutions, additions or modifications may be made to thecomponents illustrated in the drawings, and the exemplary methodsdescribed herein may be modified by substituting, reordering, or addingsteps to the disclosed methods, except where noted. Accordingly, thefollowing detailed description does not limit the disclosure. Instead,the proper scope of the disclosure is defined by the appended claims.

Systems and methods consistent with the present disclosure may offer theflexibility required to make real-time access control decisions thatrespond promptly to changing organizational environments, thus reducingrisks of the unauthorized use or access of resources. Further, certainembodiments may grant or deny a user's request to access a resourcebased on certain risk factors including, for example, the user's trustlevel, the sensitivity of the information resource requested, and theoverall system status. For example, when an employee of an organizationattempts to access a document stored on the organization's server, theaccess control engine may grant or deny access to that document based onemployee's trust level and the sensitivity of the document.

In this manner, systems consistent with the present disclosure may usethe access control engine to dynamically control which users or servicesare authorized to access certain resources or information assets.

By way of a non-limiting example, FIG. 1 illustrates a system 100 inwhich the features and principles of the present disclosure may beimplemented. System 100 is not limited to the number of componentsshown. Other variations in the number and/or arrangements of componentsof FIG. 1 may be implemented through hardware, software, firmware, etc.System 100 may include user 120 (e.g., user 120 a, user 120 b, throughuser 120 n), an adaptive risk-based access control engine 150, resources130 (e.g., resource 130 a, resource 130 b, through resource 130 n) and anetwork 140.

As used herein, the term “user” is not limited to an individual humanuser, but includes all types of users which may seek access to resources130, including organizations, entities, automated users such as softwareelements, etc. In some embodiments, users 120 may each include one ormore devices operated by human users to access software applicationsand/or services, through an interface to network 140. For example, users120 may be implemented using various devices capable of accessing a datanetwork, such as, for example, a general-purpose computer or personalcomputer equipped with a modem or other network interface. Users 120 mayalso be implemented in other devices, such as, for example, laptopcomputers, desktop computers, mobile phones (with data accessfunctions), Personal Digital Assistants (“PDA”) with a networkconnection, IP telephony phones, or generally any device capable ofcommunicating over a data network 140. In other embodiments, users 120may include software elements connected to network 140 using, forexample, application programming interfaces (APIs) through whichresources 130 may present their capabilities and content.

In some embodiments, users 120 may be configured to transmit and/orreceive data to/from access control engine 150. Data may be entered intoand/or stored on one or more users 120. The data may include accessrequests to access control engine 150 to access resources 130. Accesscontrol engine 150 may grant or deny the request, based on calculatedrisks associated with that request.

Resources 130 may include one or more information assets correspondingto various types of information, including databases, documents, mediafiles, records, financial data (e.g., credit bureau information, bankinginformation, credit union information, lender information, etc.),publically-available resources (e.g., GOOGLE™, etc.), commercialresources (e.g., LEXIS NEXIS™, etc.), Application ProgrammingInterfaces, etc. In some embodiments, resources 130 may include filesand documents created by employees or owned by an organization that maybe stored on a network. For example, resources 130 could include theorganization's confidential information, such as patent applications,research article drafts, financial statements, trade secrets, employeedata (e.g., employee name, social security number, address, roles,departmental affiliation, income, distributions to employees and/orgovernment agencies, etc.), customer or client lists, etc. In someembodiments, resources 130 may include calculations previously made byaccess control engine 150 (i.e., historical data). In some embodimentsresources 130 may include one or more systems, which enable creation,modification, and storage or other resources (e.g., database managementsystems, word processing software, business software, etc.).

Access control engine 150 may provide a platform for dynamicallycontrolling access by users 120 to resources 130 or data stored withinthe resources. Access control engine 150 may be implemented usinghardware, software, firmware, or combinations thereof and may beoperable to receive and store data from various users 120. In someembodiments, access control engine 150 may receive requests from users120 to access one or more resources 130. In addition, access controlengine 150 may also grant or deny those requests based on, for example,the risk associated with that request.

In some embodiments, the functionality of access control engine 150 maybe implemented on a single computer or server. In alternativeembodiments, the functionality of access control engine 150 may bedistributed amongst multiple computing devices without departing fromthe scope of this disclosure. Additionally, in some embodiments, accesscontrol engine 150 may be operated and/or implemented entirely within anorganization's network 140 (e.g., a private company). In otherembodiments, access control engine 150 may be operated and/orimplemented in whole or in part by a third party vendor in support ofthe organization.

Network 140 provides communication between or among the various entitiesdepicted in system 100. Network 140 may be a shared, public, or privatenetwork and may encompass a wide area network (WAN), local area network(LAN), an intranet, and/or the Internet. Network 140 may be implementedthrough any suitable combination of wired and/or wireless communicationnetworks (including Wi-Fi networks, GSM/GPRS networks, TDMA networks,CDMA networks, Bluetooth networks, or any other wireless networks.Further, the entities of system 100 may be connected to multiplenetworks 140, such as, for example, to a wireless carrier network, aprivate data network, and the public Internet.

FIG. 2 is a block diagram of access control engine 150, consistent withcertain disclosed embodiments. As discussed above, access control engine150 may be operated and/or implemented by a private organization and/ora third party to grant or deny requests from users 120 to accessresources 130. As shown in FIG. 2, access control engine 150 may includea central processing unit (CPU) 201 (also referred to herein as aprocessor) configured to execute computer program instructions toperform processes consistent with the disclosed exemplary embodiments.In addition, access control engine 150 may include random access memory(RAM) 202 and read-only memory (ROM) 203 configured to access and storeinformation and computer program instructions, and a cache 204 to storedata and information. In some embodiments, access control engine 150 mayinclude one or more databases 205 to store tables, lists, or other datastructures; I/O interfaces 206 (including, for example, interfaces tonetwork 140); one or more displays (not shown); one or more printers(not shown); one or more keyboards (not shown), etc.); and softwarestored in RAM 202, ROM 203, and/or cache 204. In addition, accesscontrol engine 150 may include S/W interfaces 207; antennas 208 forwireless transmission and/or reception of data and/or other information;a resource module 210 configured to classify and assign sensitivityscores to resources 130; and a trust module 220 configured to computetrust scores for users 120.

FIG. 3 is a block diagram of resource module 210, consistent withcertain embodiments. Resource module 210 may be, for example, a softwarecomponent of access control engine 150 or a separate external hardwaredevice configured to determine the sensitivity and confidentiality ofresources 130 and to assign sensitivity scores to the resources 130.Resource module 210 may include a document discovery engine 310 and asensitivity analyzer 320. Access control engine 150 may use sensitivityscores, associated with resources 130 and calculated by sensitivityanalyzer 320, to determine whether to grant access to resources 130, inresponse to requests from users 120.

FIG. 4 is a flow chart of functions of an exemplary resource module 210,consistent with certain disclosed embodiments. As shown, documentdiscovery engine 310 (FIG. 3) may initially discover resources 130within network 140 (410). Sensitivity analyzer 320 may classifydiscovered resources 130 and calculate sensitivity scores for thediscovered resources 130 (420/430). Resource module 210 may store andupdate sensitivity scores associated with resources 130 (440). In thismanner, access control engine 150 may use sensitivity scores associatedwith the resources 130 to determine whether to grant requests from users120 to access resources 130. In some embodiments, sensitivity analyzer320 may classify resources 130 based on identified categories within anorganization's network, for example, network 140. The resourceclassification process may further involve identifying categories ofresources relevant to the organization, dividing these categories intoordered groups, conducting an inventory of resources on a network, andthen allocating the inventoried resources to one or more of these groupsor categories.

Sensitivity analyzer 320 may compute sensitivity scores of resources 130based on several algorithms. In one embodiment, certain types ofresources 130, such as documents, could be assigned model or staticsensitivity scores. To assign sensitivity scores to such resourcesidentified by document discovery engine 310, sensitivity analyzer 320,may, for example, extract the frequencies of the key words withinidentified resources 130. In this manner, higher sensitivity scores maybe assigned to, for example, a patent document based on frequentoccurrences of the word “claim.” In another embodiment, an externaldevice or system may perform functions of sensitivity analyzer 320. Forexample, a medical records system may assign sensitivity scores toresources associated with the medical records system. In turn,sensitivity analyzer 320 may assign these same sensitivity scores tosimilar resources identified by document discovery engine 310.Consequently, sensitivity analyzer 320 may use the sensitivity scoresassigned by the medical records system without having to calculate analternative score.

FIG. 5 is a block diagram of an exemplary trust module 220, consistentwith certain disclosed embodiments. Trust module 220 may be configuredto establish the trust scores associated with requests of users 120 toaccess resources 130. Trust module 220 may include sensors 510, userlogs 520, a confidence module 530, and a trust adjustment module 540.Sensors 510 may be distributed throughout network 140 to detectfraudulent or irregular activity of users 120. Sensors 510 may beindividual computers or software modules coupled to network 140. In oneembodiment, one or more sensors 510 may be configured to detectsuspicious or fraudulent activity of users 120. For example,simultaneous access requests of the same user, coming from differentgeographic locations, may indicate suspicious activity. In anotherembodiment one or more sensors 510 may be configured to monitor thevolume of information searched or the number of access requests made bya user compared to the prior historical levels stored in user logs 520.

Trust module 220 may use scores created by confidence module 530 in thecalculation of user trust scores. Confidence module 530 may beconfigured to calculate identity confidence scores associated withrequests of users 120 to access resource 130. In one embodiment,confidence module 530 may determine user identity scores (CS(r)) basedon the conformity of recent behavior of users 120 (within the currentuser session) with user historical behavior recorded in user logs 520.For example, confidence module 530 may designate a user as “deviant” ifthe user's current behavior is inconsistent with its prior historicalbehavior or the behavior of similar users. If the confidence module doesnot observe significant differences between the user's historical andrecent behavior, then the confidence module may consider the user'sbehavior to be “conformant,” and assign the user a higher confidencescore. In some embodiments, confidence scores CS(r) may range fromdeviant to borderline to conforming.

Confidence module 530 may also calculate confidence scores associatedwith a need of users 120 to access resource 130. In one embodiment,confidence module 530 may calculate user need-to-access scores (NA(r))as a function of the sensitivity scores associated with resource 130 andof confidence scores associated with the requesting user's identity.

A matrix associating sensitivity scores, confidence scores, andneed-to-access scores is shown below. For example, a DEVIANT user'srequest to access a LOW sensitivity document could result in a LOWneed-to-access score:

Sensitivity Score Confidence Score Need-To-Access Score LOW DEVIANT LOWLOW BORDERLINE MEDIUM LOW CONFORMING HIGH MEDIUM DEVIANT LOW MEDIUMBORDERLINE MEDIUM MEDIUM CONFORMING HIGH MEDIUM DEVIANT LOW HIGHBORDERLINE MEDIUM HIGH CONFORMING HIGH

Trust module 220 may use users identity confidence (CS) andneed-to-access scores (NA) to associate an overall trust score (TS) torequests of users 120 to access resources 130. In one embodiment, trustmodule 220 may calculate user trust scores based on an average of allconfidence and need-to-access scores over all resources 130 accessed byuser 120. Trust scores may quantifiably range from lower to higher trustvalues, establishing the risk associated with each user request toaccess resources 130.

Trust adjustment module 540 may be configured to adjust the risksassociated with a user request to access resource 130 by, for example,adjusting users' need-to-access and confidence scores. In oneembodiment, trust adjustment module 540 may use the GenericAuthorization and Access-control API (GAA-API) framework to implementreal-time adjustments to risks associated with user access requests.Indeed, trust adjustment module 540 may adjust for detected anomaliesand abnormal user behavior. For example, trust adjustment module 540 mayadjust (e.g., increase or decrease) confidence scores and need-to-accessscores associated with a user, based on factors such as suspiciousbehavior, new policy creation, standard checks, network or systemstatus, and risk association.

In other embodiments, trust adjustment module 540 may adjust user trustscores based on user access profiles 550. User access profiles 550 mayinclude authentication credentials associated with the user. Thesecredentials may be derived from sources such as company directories,trust tokens, historical logs, or third-party identity validationservices. In some embodiments, access profile of a user may consist ofnetwork or system status (such as time, location), user logs 520, andinformation from sensors 550. In another embodiment, trust adjustmentmodule 540 may adjust trust scores associated with user requests, basedon information from context module 560. Context module 560 may supplyadditional context information associated with users 120 request toaccess resources 130. Context information may include, for example, thecurrent state of network 140 (or connected external networks) such asvolume of network traffic or unexpected changes in network trafficvolume, awareness of the state of external systems with which network140 must interact, sudden unexpected changes to the number of usersand/or user requests accessing network 140 etc.

FIG. 6 is a block diagram of an exemplary context module, consistentwith certain disclosed embodiments. As shown in FIG. 6, context module560 may include context definitions 610, a context inference module 620,a context set 630, a domain ontology 640, and heterogeneity andconsistency analyzers 650. In one embodiment, context module 560 may beconfigured to determine the context surrounding a user's request toaccess a resource, for example, whether the user previously accessedsimilar resources, or whether risk thresholds or other conditions havesufficiently changed (e.g., job promotion, merger, etc.) to justify theuser's request.

Context definitions 610 may be configured to include the definitions ofcommon environmental scenarios based on the values of associated contextparameters. Examples of context definitions may include determining abase or model operational environment for users 120, resources 130, ornetwork 140. Based on this information, context definitions may beprescribed for a range of conditions and the default treatment of accessrequests may be tailored to those conditions, including the pace atwhich the conditions may change.

In one embodiment, context inference module 620 may compute contextinferences based on context set 630 and context definitions 610. Forexample, a context inference could involve determining a risk thresholdor tolerance sufficient to maintain current operational conditionsbetween users, resources, and networks. Context inference module 620 mayautomatically adjust the risk tolerance based on a change from normal toexigent conditions. For example, context inference module 620 may adjustrisk tolerance in circumstances where conditions in a hospital change,such as the hospital's emergency room, previously having a light patientload suddenly experiencing a large influx of injured patients due to amass-casualty incident. Accordingly, context inference module 620 mayautomatically adjust the hospital's risk tolerance, permitting trustmodule 220 to grant a greater number of user access requests.

In one embodiment, context set 630 may be configured to contain thecontext parameters of interest for processing a user's request to accessa resource. These parameters may include, for example, currentoperational conditions, changes to those conditions, previous resourceaccess requests, trends in user access requests (including suspicious orconflicting behaviors), etc.

Domain ontologies 640 may be configured to contain the vocabulary usedby different domains to define different types of context. Contextdefinitions, inference mechanisms, and context sets may varysignificantly across business domains such as financial services,medical treatment, military operations, communications, andentertainment. A domain ontology is known in information science as away to represent knowledge as a set of concepts within a domain, and therelationships between pairs of concepts. As such, domain ontologies 640may represent similar concepts across multiple domains. In oneembodiment, domain ontologies 640 may model a domain and supportreasoning or deduce logical concepts about entities within the domain.

Context inference module 620 may send context inferences, and resultingcontext sets, to heterogeneity and consistency analyzers 640.Heterogeneity and consistency analyzers 640 may use domain ontologies640 to resolve any heterogeneity issues resulting from differinginterpretations of context across different domains. For example, whenthe operational environment in which users access resources over anetwork encompasses multiple business domains each represented by aspecific ontology, heterogeneity and consistency analyzers 640 mayaccommodate and resolve overlapping or conflicting concept terms andrelationships to provide consistent context sets. A military hospitalsetting may, for example, generate domain ontologies for both medicaland military practice that may influence how context inferences are madeand what context sets result. Heterogeneity and consistency analyzers640 may resolve any conflicts and provide combined and consistentcontext sets.

In one embodiment, heterogeneity and consistency analyzers 640 may useinformation from context inference module 620 to evaluate the context ofuser access requests. For example, heterogeneity and consistencyanalyzer 640 may employ general statistical analysis to compute trendsof user 120 (positive or negative) based on comparison of contextsassociated with current and prior access requests. Trust adjustmentmodule 540 may use these trends to update system data structures (e.g.,trust and sensitivity scores) and modify the risk associated withgranting user requests to access resources 130. In some embodiments,trends associated with user requests may be stored in user log 520, maybe stored in resource 130, or both. In some embodiments, functions ofcontext module 560 may be computed on another network external tonetwork 140. This may, however, reduce the efficiency of performingreal-time analysis of access requests.

Referring now to FIG. 7, an exemplary method 700 for management ofresources. Specifically, method 700 processes a request from a user,such as an employee, to access a resource such as a company financialrecord. In this example, access control engine 150 may access userprofiles, including the employee's profile (710). The employee's profilemay consist of the employee's, title, role, address, salary etc. Next,the method computes first user trust scores, including the employee'sfirst trust score (720). Consistent with the embodiments disclosedherein, when access control engine 150 receives the employee's requestto access the record (730), access control engine 150, may then access asensitivity score for the record (740). Access control engine 150 maythen compute a confidence score for the employee (750) and aneed-to-access score for the employee (760). The method may then use thesensitivity score and the employee's computed confidence andneed-to-access scores to compute or generate a second trust score forthe employee (770). Accordingly, access control engine may selectivelygrant the employee's request for access to the record based on thesecond trust score (780). Further, access control engine 150 maycontinue to monitor and assess the requesting employee's actions on thesystem, the contents of the document, and the context of all requestsassociated with that employee, and may increase or decrease theemployee's trust score based on that assessment. Consequently, if theemployee attempts to access that same financial record, access controlengine 150 may deny that second request, based on the lower trust scoreassociated with the employee, the context of the request, or the riskthreshold of the company. As a result, the company is able to adaptivelycontrol access to its resources based on dynamic risk calculations.

While certain features and embodiments of the disclosure have beendescribed, other embodiments of the disclosure will be apparent to thoseskilled in the art from consideration of the specification and practiceof the embodiments of the disclosure disclosed herein. Furthermore,although aspects of embodiments of the present disclosure have beendescribed as being associated with data stored in memory and otherstorage mediums, one skilled in the art will appreciate that theseaspects can also be stored on or read from other types ofcomputer-readable media, such as secondary storage devices, like harddisks, floppy disks, or a CD-ROM, or other forms of RAM or ROM. Further,the steps of the disclosed methods may be modified in various ways,including by reordering steps and/or inserting or deleting steps,without departing from the principles of the disclosure.

It is intended, therefore, that the specification and examples beconsidered as exemplary only, with a true scope and spirit of thedisclosure being indicated by the following claims and their full scopeof equivalents.

What is claimed is:
 1. A system comprising: a first sensor to monitorfirst information, the first information relating a volume ofinformation searched by a user; a second sensor to monitor secondinformation, the second information relating to a number of requests,made by the user, to access a resource; a third sensor to monitor thirdinformation, the third information relating to a number of requests,made by the user, from different geographic locations; and a device to:receive the first information, the second information, and the thirdinformation, and process the first information, the second information,and the third information in connection with the resource.
 2. The systemof claim 1, where the device is further to: selectively transmit, basedon processing the first information, the second information, and thethird information, the resource.
 3. The system of claim 2, where thedevice, when selectively transmitting the resource, is to: selectivelytransmit the resource to the user.
 4. The system of claim 3, where thedevice, when selectively transmitting the resource to the user, is to:grant the user access to the resource.
 5. The system of claim 1, wherethe device is further to: grant, based on processing the firstinformation, the second information, and the third information, the useraccess to the resource.
 6. The system of claim 5, where the device isfurther to: adjust, based on granting the user access to the resource,information associated with the user based on user action associatedwith the resource.